Technical Program Manager, MSL PAR at Meta

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Program Management, AI/ML Product Solutions, Cross-Functional Collaboration, Risk Management, Roadmap Development, Impact Measurement, Communication, Problem Solving, Software Engineering, Systems Engineering, Product Strategy, User Needs Analysis, Analytical Skills, Model Performance Evaluation, Leadership, Organizational Skills

Industry

Software Development

Description

The Meta Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a deep technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact. As a Technical Program Manager (TPM), for the Products and Applied Research (PAR) team, you will be responsible for delivering significant business value through ML innovations and development of state-of-the-art AI features and products. You will work with PAR Engineering and TBD Labs teams of talented ML engineers, scientists, product managers, data scientists, and other cross-functional team members to help evaluate models, build state of the art post-training and customization techniques, and build effective tools (and strategy) to streamline model productionization process while holding a high quality bar. You’ll communicate progress and drive program execution efficiently through cross-functional and cross-organizational collaboration to achieve business goals. You’ll be an integral part of the team who will drive technical strategy, system architectural discussions, and make future-proof decisions that align with product strategy and vision. Responsibilities Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery Manage and own cross-functional products and programs execution in a matrix organization Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area Help define the roadmap and long-term strategy of the teams that you are working with Design measurements to track impact and drive internal process improvements Articulate the technology, requirements, goals and milestones of your team Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders Help drive product decisions to align with higher company initiative Minimum Qualifications B.S. in Computer Science or a related technical discipline, or equivalent experience 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience Experience driving and delivering complex AI/ ML tech programs or products from inception to delivery Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms and programs Knowledge of user needs, gathering requirements, and defining scope Experience operating autonomously across multiple teams and functions, demonstrated critical thinking, and thought leadership Communication experience at executive level and experience influencing leadership and technical management teams to develop systems, solutions, and products Organizational, coordination and multi-tasking experience Analytical and problem-solving experience with large-scale systems Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones Preferred Qualifications Experience with shipping products that rely on large models (LLMs and VLMs) Experience evaluating model performance online and offline Experience working across modeling and product teams

Responsibilities

Develop and manage end-to-end technical AI/ML product solutions while ensuring on-time delivery. Drive technical and product strategy, manage risks, and communicate progress to stakeholders.